Other books that might interest you

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  William Stanek's The Living...

  The Editors of Our American...

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  Olympic begins in the ocean.
  
  Rock carried by moving crust became mountains. Ice reshaped them. Rain gathered against their slopes. Rivers carried mountain water through forests toward the Pacific. Salmon moved between sea and interior, joining worlds that roads would later make seem separate.
  
  William Stanek's The Living Olympic Biography follows that connected landscape through geology, glaciers, rain forest, coast, Indigenous homelands, settlement, logging, dams, preservation, river restoration, wildlife, fire, and a changing climate.
  
  The result is the biography of a peninsula whose parts cannot be understood alone.
  
  Mountains become rivers. Rivers become forests. Forests meet the sea. And the story of protecting Olympic becomes, increasingly, the story of repairing connections once broken.

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  The System of the World

  Isaac Newton

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  What if the universe could be explained by a few elegant laws?
  In The System of the World, Isaac Newton presents a clear and powerful vision of how the cosmos works—revealing the principles behind motion, gravity, and the structure of the heavens. Written to illuminate the ideas of the Principia, this work makes Newton's revolutionary thinking accessible, showing how simple forces govern planets, tides, and the very fabric of nature.
  
  Regarded as "one of the cornerstones of modern science," this classic bridges mathematics, physics, and philosophy, shaping how humanity understands the universe. Newton's clarity and ambition continue to inspire scientists, thinkers, and curious minds centuries later.
  
  If you're fascinated by the laws that rule reality and the ideas that launched the scientific age, this essential work belongs in your library.
  
  Open the book—and discover the system that revealed how the world truly moves.

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  Trolling Ourselves to Death -...

  Jason Hannan

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  Almost forty years ago, Neil Postman argued that television had brought about a fundamental transformation to democracy. By turning entertainment into our supreme ideology, television had recreated public discourse in its image and converted democracy into show business. In Trolling Ourselves to Death, Jason Hannan builds on Postman's classic thesis, arguing that we are now not so much amusing, as trolling ourselves to death. 
   
   
   
  Contrary to the popular view of the troll as an exclusively anonymous online prankster, Hannan asserts that trolls have emerged from the cave, so to speak. Trolls now include politicians, performers, patriots, and protesters. What was once a mysterious phenomenon limited to the darker corners of the Internet has since gone mainstream, eroding our public culture and changing the rules of democratic politics. 
   
   
   
  Synthesizing media ecology with historical materialism, Hannan explores the disturbing rise of political unreason in the form of mass trolling and sheds light on the proliferation of disinformation, conspiracy theory, "cancel culture," and digital violence. Taking inspiration from Robert Brandom's innovative reading of Georg Wilhelm Friedrich Hegel, Trolling Ourselves to Death makes a case for building "a spirit of trust" to curb the epidemic of mass distrust that feeds the plague of political trolling.

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  Data Mesh - What Is Data Mesh?...

  Brian Murray

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  Data Mesh is a revolutionary new approach to data management and organization that has the potential to transform the way we think about data and its role in driving business outcomes. In this book, we explore the principles of Data Mesh and its application to the field of Data Science. 
  At its core, Data Mesh is about decentralizing data ownership and empowering teams to take ownership of their own data domains. By breaking down data silos and enabling teams to collaborate more effectively, Data Mesh creates a more agile and scalable approach to data management that can adapt to the ever-changing needs of modern businesses. 
  In the context of Data Science, Data Mesh provides a powerful framework for organizing and analyzing data in a way that enables teams to drive insights and make data-driven decisions. By enabling Data Science teams to work with data that is organized and managed in a more decentralized and collaborative way, Data Mesh can help to accelerate the pace of innovation and improve the quality of insights generated. 
  In this book, we will explore the principles of Data Mesh and its application to Data Science in detail, providing practical guidance and real-world examples of how organizations can leverage this approach to drive better outcomes. From data modeling and governance to data visualization and analysis, we will cover all aspects of Data Mesh and its impact on the world of Data Science. 
  Whether you are a Data Scientist, a data engineer, or a business leader looking to transform your organization's data management practices, this book is an essential guide to understanding and leveraging the power of Data Mesh. With its clear explanations, practical guidance, and real-world examples, this book will help you to unlock the full potential of your data and drive better outcomes for your organization.

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  Software-Defined Networking - A...

  May Sherry

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  Software-Defined Networking: A Comprehensive Guide to Modern Network Architecture offers an in-depth exploration of the transformative technology reshaping the world of networking. This book provides a thorough understanding of Software-Defined Networking (SDN), from foundational principles to advanced implementations, making it an essential resource for network professionals, engineers, and IT managers. 
  This guide equips you with the knowledge and tools needed to leverage SDN for modern, scalable, and efficient network architecture. 
   

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  Python Machine Learning for...

  Jim D Johnston

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  Step into the exciting world of artificial intelligence and data science with a practical guide designed for complete beginners. 
  Python Machine Learning for Beginners introduces readers to the fundamental concepts of machine learning using Python, the world's most popular programming language for AI and data-driven applications. Written in a clear and accessible style, this book helps beginners understand how machines learn from data, make predictions, recognize patterns, and solve real-world problems. 
  From basic programming concepts to building your first machine learning models, this comprehensive guide provides a strong foundation for anyone looking to start a career in artificial intelligence, data science, or software development. 
  Inside, you will discover:The fundamentals of Python programming for machine learningCore concepts of artificial intelligence, data science, and machine learningUnderstanding data collection, preparation, and preprocessingExploratory data analysis and data visualization techniquesSupervised and unsupervised learning algorithmsBuilding predictive models with PythonIntroduction to neural networks and deep learningWorking with popular libraries such as NumPy, Pandas, Matplotlib, and Scikit-learnEvaluating and improving machine learning model performanceReal-world applications in business, healthcare, finance, marketing, and automation 
  With practical examples, hands-on exercises, and real-world projects, Python Machine Learning for Beginners provides the knowledge, skills, and confidence needed to begin your journey into one of the fastest-growing fields in technology today.

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